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Data Science blog posts

  • Developer Experience/Productivity

    DARWIN: Data Science and Artificial Intelligence Workbench at ...

    Varun S.

    Jan 28, 2022

  • Fairness

    Our approach to building transparent and explainable AI systems

    Kinjal Basu

    Oct 7, 2021

  • Member/Customer Experience

    Optimizing People You May Know (PYMK) for equity in network cr...

    Qiannan Y.

    Aug 5, 2021

  • Responsible AI

    An update on Responsible AI at LinkedIn

    Parvez Ahammad

    May 24, 2021

  • Open Source

    Greykite: A flexible, intuitive, and fast forecasting library

    Reza Hosseini

    May 13, 2021

  • Optimization

    How to build an effective professional network on LinkedIn: So...

    YinYin Yu, PhD

    May 4, 2021

  • Celebrating Innovation, Success, and the Future at Data Scienc...

    Sep 30, 2020

  • Member/Customer Experience

    Bringing Project Every Member to life: Open sourcing our Spark...

    Guillaume Saint-Jacques

    May 26, 2020

  • A/B Testing/Experimentation

    Building inclusive products through A/B testing

    Guillaume Saint-Jacques

    Mar 31, 2020

  • Skills Graph

    How we mapped the “skills genome” of emerging jobs

    Zhichun Jenny Ying

    Dec 10, 2019

  • DataHub: A generalized metadata search & discovery tool

    Mars Lan

    Aug 14, 2019

  • Fairness

    Fairness, Privacy, and Transparency by Design in AI/ML Systems

    Krishnaram Kenthapadi

    Jul 26, 2019

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